MELD
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Baseline results=0
Hi, I have tried the bc_LSTM baseline with bimodal in emotion classification, but the F1-score and accuracy of 'fear' and 'disgust' are always zero, so I can't reproduce the result in paper.
The command I use:
python baseline.py -classify emotion -modality bimodal -train
The results:
precision recall f1-score support
0 0.7322 0.7795 0.7551 1256
1 0.4799 0.4662 0.4729 281
2 0.0000 0.0000 0.0000 50
3 0.2781 0.2019 0.2340 208
4 0.4813 0.5448 0.5111 402
5 0.0000 0.0000 0.0000 68
6 0.3832 0.4377 0.4087 345
The emotion labels:
Emotion - {'neutral': 0, 'surprise': 1, 'fear': 2, 'sadness': 3, 'joy': 4, 'disgust': 5, 'anger': 6}.
I know the main strategy is to adjust the class weight. To be hnoest, I'm new to tensorflow. I don't know what codes are needed to add to achieve it. Could you please give me some suggestion?
Best wishes>